Help & Supportcareers@gravityer.com
AI Engineer with 1+ years in Python, Django, and Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated AI and Data Science professional with 1.8 years of hands-on experience in implementing Machine Learning and Deep Learning models for data analysis and image classification. Skilled in full-stack development using Django, MySQL, PostgreSQL, and adept at creating interactive Power BI and Tableau dashboards. Proven ability to deliver actionable insights and build end-to-end solutions for complex data and web applications.
College of Engineering Trikaripur
Bachelor of Technology · Computer Science and Engineering
August 1, 2019 – June 30, 2023
GHSS Chayoth
Higher Secondary Education
June 1, 2017 – May 31, 2019
GHSS Chayoth
SSLC
June 1, 2016 – May 31, 2017
PySpiders
Python Full Stack Development
July 1, 2023 – April 30, 2024
Bengaluru, Karnataka, India
Lung Disease Detection
July 1, 2023 – April 30, 2024
Developed a medical imaging classification system using ImageDataGenerator to identify conditions from X-ray data. Implemented an automated preprocessing pipeline using ImageDataGenerator for real-time data augmentation (rotation, zoom, horizontal flip), significantly reducing model overfitting. Utilized Django for the user interface and MySQL for backend data management.
Object Detection
July 1, 2023 – April 30, 2024
Engineered computer vision models to classify vehicles, pets, and environmental waste with integrated reporting features.
Frontend project using HTML and CSS
July 1, 2023 – April 30, 2024
Amazon Home page, College Website Home page, Restaurant Website
E-Commerce Platform
July 1, 2023 – April 30, 2024
Built a full-stack application featuring user authentication and shopping cart logic using Django for frontend rendering and MySQL for inventory management.
Global Demographic & Population Dynamics Analysis
July 1, 2023 – April 30, 2024
Developed a multi-page demographic reporting ecosystem analyzing 50-year global population trends, growth metrics, and regional density shifts. Executed complex ETL pipelines in Power Query to cleanse, reshape, and merge distinct regional datasets into a unified, high-performance data model. Formulated DAX measures for dynamic population growth categorization and deployed Treemaps, Scatter charts, and KPI cards across structured Executive and Continent views.
Financial Transaction Analytics Dashboard
July 1, 2023 – April 30, 2024
Built a centralized financial BI solution to monitor transaction performance, operational fees, taxes, and customer behavior across multiple regions. Authored advanced DAX measures for Year-over-Year (YoY) growth tracking and designed dynamic Field Parameters for on-the-fly filtering by category and occupation. Engineered interactive Matrix heatmaps, Line/Area trend charts, and a detailed secondary grid-view dashboard for granular record drill-downs.
Food Calorie Website using Python Django
July 1, 2023 – April 30, 2024
Developed a full-stack web application to track food calorie using python and django. Designed and implemented database models for food items, user profile using Django ORM. Enabled user authentication with django's built-in authentication system. Created responsive and user friendly interfaces using HTML5 and Bootstrap.
Skin Disease Detection Using Image Processing
July 1, 2023 – April 30, 2024
Developed a machine learning model using Convolutional neural networks (CNN) to detect and classify skin diseases from images. Employed image preprocessing techniques to improve accuracy, achieving 90% accuracy in classification.
Participated in Three-day hands on workshop on Machine Learning
Unknown
June 1, 2026 – Present
Internship program on python
Revertech It solution, Kochi
June 1, 2026 – Present
Participated in INQUA 3.0 National Tech Fest
College of Engineering Trikaripur
June 1, 2026 – Present
Attended the technical webinar conducted as a part of IFSFS 2020
PES Young Professionals
January 1, 2020 – Present
Cultural Fit Analysis
The candidate's project portfolio is diverse, covering AI/ML, web development, and business intelligence, which suggests a broad interest in technology. The academic nature of most projects and the single internship indicate a foundational stage in their career. The target role of 'AI Engineer' aligns well with the candidate's focus on computer vision and machine learning projects. The breadth of skills, including Python, Django, React, SQL, and Power BI, indicates a willingness to learn and adapt to different technological stacks. However, the lack of collaborative projects or team-based experiences makes it challenging to fully assess cultural fit in a professional team environment.
Soft Skills & Operational Fit
The candidate's academic projects demonstrate an ability to work on diverse technical challenges, from computer vision to full-stack web development and business intelligence. The descriptions indicate a structured approach to problem-solving, such as implementing ETL pipelines and designing interactive dashboards. However, without direct work experience beyond an internship, it's difficult to assess operational fit and soft skills like teamwork, leadership, or adaptability in a professional setting.